Evidence map›Paper›PMID 31324929›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2019

Using environmental clustering to identify specific drought tolerance QTLs in bread wheat (T. aestivum L.).

Gaëtan Touzy, Renaud Rincent, Matthieu Bogard, Stephane Lafarge, Pierre Dubreuil, Agathe Mini, Jean-Charles Deswarte, Katia Beauchêne, Jacques Le Gouis, Sébastien Praud

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Accumulation ofFrontiers in plant science · 2025
    Article
  4. Article
  5. Plasticity QTLs specifically contribute to the genotype × water availability interaction in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Identification of QTLs affecting post-anthesis heat stress responses in European bread wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  11. Review
  12. Article
  13. Genomic analysis for heat and combined heat-drought resilience in bread wheat under field conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  14. Article
  15. Genetics of yield, abiotic stress tolerance and biofortification in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  16. Review
  17. Article
  18. Article
  19. Using crop growth model stress covariates and AMMI decomposition to better predict genotype-by-environment interactions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Gaëtan TouzyArvalis-Institut du végétal, Biopôle Clermont Limagne, 63360, Saint-Beauzire, France.ORCID http://orcid.org/0000-0003-1849-0688
Renaud RincentINRA, UCA UMR 1095, Génétique, Diversité et Ecophysiologie des Céréales, 24 Avenue des Landais, 63177, Aubière Cedex, France.
Matthieu BogardArvalis-Institut du végétal, 6 Chemin de la côte vieille, 31450, Baziège, France.
Stephane LafargeCentre de recherche de Chappes, Biogemma, Route d'Ennezat CS90216, 63720, Chappes, France.
Pierre DubreuilCentre de recherche de Chappes, Biogemma, Route d'Ennezat CS90216, 63720, Chappes, France.
Agathe MiniINRA, UCA UMR 1095, Génétique, Diversité et Ecophysiologie des Céréales, 24 Avenue des Landais, 63177, Aubière Cedex, France.
Jean-Charles DeswarteArvalis-Institut du végétal, Route de Châteaufort, ZA des graviers, 91190, Villiers-le-Bâcle, France.
Katia BeauchêneArvalis-Institut du végétal, 45 voie Romaine, Ouzouer Le Marché, 41240, Beauce La Romaine, France.
Jacques Le GouisINRA, UCA UMR 1095, Génétique, Diversité et Ecophysiologie des Céréales, 24 Avenue des Landais, 63177, Aubière Cedex, France.
Sébastien PraudCentre de recherche de Chappes, Biogemma, Route d'Ennezat CS90216, 63720, Chappes, France. sebastien.praud@biogemma.com.

Funding

ANRT 2015/0686
6 · The paper itself

Abstract

key messageEnvironmental clustering helps to identify QTLs associated with grain yield in different water stress scenarios. These QTLs could be useful for breeders to improve grain yields and increase genetic resilience in marginal environments. Drought is one of the main abiotic stresses limiting winter bread wheat growth and productivity around the world. The acquisition of new high-yielding and stress-tolerant varieties is therefore necessary and requires improved understanding of the physiological and genetic bases of drought resistance. A panel of 210 elite European varieties was evaluated in 35 field trials. Grain yield and its components were scored in each trial. A crop model was then run with detailed climatic data and soil water status to assess the dynamics of water stress in each environment. Varieties were registered from 1992 to 2011, allowing us to test timewise genetic progress. Finally, a genome-wide association study (GWAS) was carried out using genotyping data from a 280 K SNP chip. The crop model simulation allowed us to group the environments into four water stress scenarios: an optimal condition with no water stress, a post-anthesis water stress, a moderate-anthesis water stress and a high pre-anthesis water stress. Compared to the optimal water condition, grain yield losses in the stressed conditions were 3.3%, 12.4% and 31.2%, respectively. This environmental clustering improved understanding of the effect of drought on grain yields and explained 20% of the G × E interaction. The greatest genetic progress was obtained in the optimal condition, mostly represented in France. The GWAS identified several QTLs, some of which were specific of the different water stress patterns. Our results make breeding for improved drought resistance to specific environmental scenarios easier and will facilitate genetic progress in future environments, i.e., water stress environments.

Indexed as

DroughtsQuantitative Trait LociStress, PhysiologicalBreadChromosome MappingChromosomes, PlantDehydrationGenes, PlantGenetic LinkageGenome-Wide Association StudyGenotypePhenotypeTriticum

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.